Left panel shows root mean squared error (RMSE) of each outlier sample’s mutation spectrum. Right panel shows the fold-difference in contribution per subtype for each outlier. Fold-differences are calculated relative to the mean contribution of that subtype across all samples.
## [1] "#E495A5" "#E495A5" "#E495A5" "#E495A5" "#E495A5" "#E495A5" "#E495A5"
## [8] "#E495A5" "#E495A5" "#E495A5" "#86B875" "#86B875" "#86B875" "#86B875"
## [15] "#86B875" "#86B875" "#7DB0DD" "#7DB0DD" "#7DB0DD" "#7DB0DD" "#7DB0DD"
## [22] "#7DB0DD" "#7DB0DD" "#7DB0DD" "#7DB0DD"
These plots shows the total number of observations in each subtype, combined across all samples
## [1] "#E495A5" "#E495A5" "#E495A5" "#E495A5" "#E495A5" "#E495A5" "#E495A5"
## [8] "#E495A5" "#E495A5" "#E495A5" "#86B875" "#86B875" "#86B875" "#86B875"
## [15] "#86B875" "#86B875" "#7DB0DD" "#7DB0DD" "#7DB0DD" "#7DB0DD" "#7DB0DD"
## [22] "#7DB0DD" "#7DB0DD" "#7DB0DD" "#7DB0DD"
Describes how each mutation subtype is loaded into the r signatures
## # A tibble: 3 x 4
## rowname S1 S2 S3
## <chr> <dbl> <dbl> <dbl>
## 1 S1 NA -0.4194753 -0.1991260
## 2 S2 -0.4194753 NA -0.8060593
## 3 S3 -0.1991260 -0.8060593 NA
Proportion each signature contributes to the mutation spectrum in each individual sample